Showing 3 open source projects for "streamlit"

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  • 1
    Mito

    Mito

    AI-powered Jupyter spreadsheet that converts workflows into Python

    ...Its spreadsheet layer supports familiar functions such as filters, pivot tables, and formulas, while automatically converting every action into production-ready Python code. This removes the need to manually translate spreadsheet logic into scripts. Mito also integrates with tools like Streamlit and Dash, enabling users to embed interactive spreadsheet functionality into apps with minimal setup. Built for analysts, developers, and teams, it simplifies automation, reduces repetitive tasks, and accelerates the transition from data exploration to reusable code.
    Downloads: 5 This Week
    Last Update:
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  • 2
    ChatGLM3

    ChatGLM3

    ChatGLM3 series: Open Bilingual Chat LLMs | Open Source Bilingual Chat

    ...It keeps the series’ smooth dialog and low deployment cost while adding native tool use (function calling), a built-in code interpreter, and agent-style workflows. The family includes base and long-context variants (8K/32K/128K). The repo ships Python APIs, CLI and web demos (Gradio/Streamlit), an OpenAI-format API server, and a compact fine-tuning kit. Quantization (4/8-bit), CPU/MPS support, and accelerator backends (TensorRT-LLM, OpenVINO, chatglm.cpp) enable lightweight local or edge deployment.
    Downloads: 4 This Week
    Last Update:
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  • 3
    ChatGLM2-6B

    ChatGLM2-6B

    ChatGLM2-6B: An Open Bilingual Chat LLM

    ChatGLM2-6B is the second-gen Chinese-English conversational LLM from ZhipuAI/Tsinghua. It upgrades the base model with GLM’s hybrid pretraining objective, 1.4 TB bilingual data, and preference alignment—delivering big gains on MMLU, CEval, GSM8K, and BBH. The context window extends up to 32K (FlashAttention), and Multi-Query Attention improves speed and memory use. The repo includes Python APIs, CLI & web demos, OpenAI-style/FASTAPI servers, and quantized checkpoints for lightweight local...
    Downloads: 4 This Week
    Last Update:
    See Project
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